Selected work

What we have built and for whom

Integrations, data and infrastructure are exactly where AI projects fall apart. We were doing that work long before anyone called it AI adoption.

01Data infrastructure

Airbyte

Open-source ELT with 300+ connectors

A connector-heavy data platform used by hundreds of engineering teams, where a broken sync is visible the same day.

YC W20 · 300+ connectors
02AI agents

Crassula

RAG agent over the company's own knowledge

A retrieval-based agent that answers from the company's own documents and data rather than from a general-purpose model.

European client
03Distributed systems

Aleph Zero

Privacy-focused Layer 1 blockchain

Cryptography and consensus with sub-second finality, in a system where a mistake costs users money directly.

Sub-second finality
04Web3

RMRK

Composable NFT standards

Standards other teams build on top of, held to library-grade quality rather than app-grade.

Ecosystem-level standard

First step

Name one process. We'll tell you what it is costing you.

30 minutes, no deck and no commitment. We work out how many people and hours the process burns today, what can come off and what should stay with humans. If the honest answer is that automating it does not pay, that is the answer you get.